Computational Thinking Integration into Pre-Service Science Teacher Education: A Systematic Review

Abstract

ABSTRACT Computational Thinking (CT) has emerged as a fundamental aspect of modern science education, especially within pre-service teacher education. This study examines the current landscape of CT integration in pre-service science teacher education, drawing insights from an analysis of 18 empirical studies conducted since the implementation of the Next Generation Science Standards in 2013. The findings reveal the predominantly exploratory nature of research in this area and underscore the prevalence of positive outcomes associated with CT integration. Moreover, the study identifies prominent pedagogical strategies such as problem-based learning and the engineering design process, highlighting their integral roles in CT integration. Additionally, the findings uncover the interconnectedness of modeling and simulation, computational problem-solving, and systems thinking practices within CT-integrated science interventions. This suggests the necessity for a more holistic approach, including the integration of unplugged activities, the generalization component of CT, and diverse science disciplines, encompassing life science and Earth/space science. Ultimately, these findings emphasize the imperative for further investigation to comprehensively explore CT integration within pre-service science teacher education, aligning closely with contemporary educational standards and practices.